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  • AUV SENTRY  (1)
  • Anammox  (1)
  • Accession number, genetics; aquifer; Average; biogeochemistry; Canadian Prairie; Cell counts, microbial; Cells, total; communities; DATE/TIME; Event label; Field measurement; GOWN_Airdrie; GOWN_Barons; GOWN_Barrhead; GOWN_Beaverlodge; GOWN_Bigstone; GOWN_Buck_Deep; GOWN_Buck_Lake; GOWN_Canmore; GOWN_Canmore_Tourist; GOWN_Carmangay; GOWN_Carseland; GOWN_Cavendish; GOWN_Cluny_North; GOWN_Cluny_South; GOWN_Cochrane_Deep; GOWN_Cochrane_Shallow; GOWN_Crestomere; GOWN_Crossfield; GOWN_Cushing_Lake; GOWN_Cynthia; GOWN_Del_Bonita; GOWN_Devon_Botanical; GOWN_Devon_Botanical_Garden; GOWN_Dewberry; GOWN_Duvernay; GOWN_Elnora; GOWN_Elnora_6; GOWN_Fairview; GOWN_Ferintosh; GOWN_Forty_Mile_Coulee; GOWN_Gem_66_7; GOWN_Grimshaw_Mercier; GOWN_Grimshaw_Nissan; GOWN_Hamilin; GOWN_Hand_Hills; GOWN_Hardisty; GOWN_Hardisty_Airport; GOWN_Hays_East; GOWN_Irricana; GOWN_Kehiwin_Lake; GOWN_KEHO_Lake; GOWN_Kirkpatrick; GOWN_Leedale_Deep; GOWN_Leedale_Shallow; GOWN_Lloydminster; GOWN_McNally; GOWN_Medicine_Hat; GOWN_Metiskow; GOWN_Milk_River; GOWN_Ministik; GOWN_Moose_Lake; GOWN_Morningside; GOWN_Okotoks_N; GOWN_Oldman_Dam; GOWN_Olds; GOWN_Orton; GOWN_Pakowi; GOWN_Pine_Lake; GOWN_Ponoka; GOWN_Raven; GOWN_Redlands; GOWN_Rich_Lake; GOWN_Rocky_Mt._House; GOWN_Rockyford; GOWN_Rollyview; GOWN_Rosebud; GOWN_Ross_Creek; GOWN_Sibbald; GOWN_Sion_3; GOWN_Smith; GOWN_Smith_Coulee; GOWN_Sounding_Creek; GOWN_Stettler_North; GOWN_Stettler_South; GOWN_Sundre_North; GOWN_Sundre_South; GOWN_Three_Hills; GOWN_Three_Hills_RCA; GOWN_Viking; GOWN_Wainwright; GOWN_Warburg; GOWN_Warner; GOWN_Warner_North; GOWN_Wetaskiwin; GOWN_Zama_North; Grids, total; groundwater; LATITUDE; LONGITUDE; microbes; Number of cells; Number of squares; Sample code/label; Sample code/label 2; Sequence identifier; Standard deviation; Standard error; Well; Well, identifier
  • 2020-2023  (2)
Document type
Keywords
  • AUV SENTRY  (1)
  • Anammox  (1)
  • Accession number, genetics; aquifer; Average; biogeochemistry; Canadian Prairie; Cell counts, microbial; Cells, total; communities; DATE/TIME; Event label; Field measurement; GOWN_Airdrie; GOWN_Barons; GOWN_Barrhead; GOWN_Beaverlodge; GOWN_Bigstone; GOWN_Buck_Deep; GOWN_Buck_Lake; GOWN_Canmore; GOWN_Canmore_Tourist; GOWN_Carmangay; GOWN_Carseland; GOWN_Cavendish; GOWN_Cluny_North; GOWN_Cluny_South; GOWN_Cochrane_Deep; GOWN_Cochrane_Shallow; GOWN_Crestomere; GOWN_Crossfield; GOWN_Cushing_Lake; GOWN_Cynthia; GOWN_Del_Bonita; GOWN_Devon_Botanical; GOWN_Devon_Botanical_Garden; GOWN_Dewberry; GOWN_Duvernay; GOWN_Elnora; GOWN_Elnora_6; GOWN_Fairview; GOWN_Ferintosh; GOWN_Forty_Mile_Coulee; GOWN_Gem_66_7; GOWN_Grimshaw_Mercier; GOWN_Grimshaw_Nissan; GOWN_Hamilin; GOWN_Hand_Hills; GOWN_Hardisty; GOWN_Hardisty_Airport; GOWN_Hays_East; GOWN_Irricana; GOWN_Kehiwin_Lake; GOWN_KEHO_Lake; GOWN_Kirkpatrick; GOWN_Leedale_Deep; GOWN_Leedale_Shallow; GOWN_Lloydminster; GOWN_McNally; GOWN_Medicine_Hat; GOWN_Metiskow; GOWN_Milk_River; GOWN_Ministik; GOWN_Moose_Lake; GOWN_Morningside; GOWN_Okotoks_N; GOWN_Oldman_Dam; GOWN_Olds; GOWN_Orton; GOWN_Pakowi; GOWN_Pine_Lake; GOWN_Ponoka; GOWN_Raven; GOWN_Redlands; GOWN_Rich_Lake; GOWN_Rocky_Mt._House; GOWN_Rockyford; GOWN_Rollyview; GOWN_Rosebud; GOWN_Ross_Creek; GOWN_Sibbald; GOWN_Sion_3; GOWN_Smith; GOWN_Smith_Coulee; GOWN_Sounding_Creek; GOWN_Stettler_North; GOWN_Stettler_South; GOWN_Sundre_North; GOWN_Sundre_South; GOWN_Three_Hills; GOWN_Three_Hills_RCA; GOWN_Viking; GOWN_Wainwright; GOWN_Warburg; GOWN_Warner; GOWN_Warner_North; GOWN_Wetaskiwin; GOWN_Zama_North; Grids, total; groundwater; LATITUDE; LONGITUDE; microbes; Number of cells; Number of squares; Sample code/label; Sample code/label 2; Sequence identifier; Standard deviation; Standard error; Well; Well, identifier
  • Agriculture  (1)
  • Chemiluminescence  (1)
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Years
Year
  • 1
    Publication Date: 2022-05-26
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Babbin, A. R., Buchwald, C., Morel, F. M. M., Wankel, S. D., & Ward, B. B. Nitrite oxidation exceeds reduction and fixed nitrogen loss in anoxic Pacific waters. Marine Chemistry, 224, (2020): 103814, doi:10.1016/j.marchem.2020.103814.
    Description: The diversity of nitrogen-based dissimilatory metabolisms in anoxic waters continues to increase with additional studies to the marine oxygen deficient zones (ODZs). Although the microbial oxidation of nitrite (NO2–) has been known for over a century, studies of the pathways and microbes involved have generally proceeded under the assumption that nitrite oxidation to nitrate requires dioxygen (O2). Anaerobic NO2– oxidation until now has been conclusively shown only for anammox bacteria, albeit only as a limited sink for NO2– in their metabolism compared to the NO2– reduced to N2. Here, using direct experimental techniques optimized for replicating in situ anoxic conditions, we show that NO2– oxidation is substantial, widespread, and consistent across the ODZs of the eastern tropical Pacific Ocean. Regardless of the specific oxidant, NO2– oxidation rates are up to an order of magnitude larger than simultaneous N2 production rates for which these zones are known, and cannot be explained by anammox rates alone. Higher rates of NO2– oxidation over reduction in anoxic waters are paradoxical but help to explain how anammox rates can be enhanced over denitrification in shallow anoxic waters (σθ 〈 26.4) at the edge of the ODZs but not within the ODZ core. Furthermore, nitrite oxidation may be the key to reconciliation of the perceived imbalance of the global fixed nitrogen loss budget.
    Description: This work was funded by National Science Foundation grants OCE–1029951 to B.B.W, BIO–1402109 to A.R.B., and OCE-1260373 to S.D.W. Additional financial support to A.R.B. was provided by Simons Foundation grant 622065 and the generous contributions of Dr. Bruce L. Heflinger.
    Keywords: Nitrogen cycling ; Oxygen deficient zones ; Nitrite oxidation ; Denitrification ; Anammox
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-10-21
    Description: Seafloor hydrothermalism plays a critical role in fundamental interactions between geochemical and biological processes in the deep ocean. A significant number of hydrothermal vents are hypothesized to exist, but many of these remain undiscovered due in part to the difficulty of detecting hydrothermalism using standard sensors on rosettes towed in the water column or robotic platforms performing surveys. Here, we use in situ methane sensors to complement standard sensing technology for hydrothermalism discovery and compare sensing equipment on a towed rosette and autonomous underwater vehicle (AUV) during a 17 km long transect in the Northern Guaymas Basin. This transect spatially intersected with a known hydrothermally active venting site. These data show that methane signaled possible hydrothermal activity 1.5-3 km laterally (100-150m vertically) from a known vent. Methane as a signal for hydrothermalism performed similarly to standard turbidity sensors (plume detection 2.2-3.3 km from reference source), and more sensitively and clearly than temperature, salinity, and oxygen instruments which readily respond to physical mixing in background seawater. We additionally introduce change-point detection algorithms---streaming cross-correlation and regime identification---as a means of real-time hydrothermalism discovery and discuss related data monitoring technologies that could be used in planning, executing, and monitoring explorative surveys for hydrothermalism.
    Description: NSF OCE OTIC: #1842053 Woods Hole Oceanographic Institution: Innovative Technology Award NOAA Ocean Exploration: #NA18OAR0110354 Schmidt Marine Technology Partners: #G-21-62431 NASA: #NNX17AB31G NSF OCE: #0838107 Gordon and Betty Moore Foundation: #9208 NDSEG: Graduate Fellowship MIT Martin Family Society of Fellows: Graduate Fellowship Microsoft: Graduate Research Fellowship DOE/National Nuclear Security Administration: #DE-NA000392 MIT EAPS: Houghton Fund
    Keywords: Methane ; In situ instrumentation ; Hydrothermalism ; Deep sea exploration ; Eater mass classification ; Science-informed models ; AUV SENTRY ; Decision-making infrastructure
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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